Methodologies of Multi-Omics Data Integration and Data Mining, Ning
Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman Название: The Elements of Statistical Learning ISBN: 0387848576 ISBN-13(EAN): 9780387848570 Издательство: Springer Рейтинг: Цена: 69870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.
Автор: Ning Название: Traditional Chinese Medicine and Diseases ISBN: 9811947708 ISBN-13(EAN): 9789811947704 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book focuses on the multi-omics big-data integration, the data-mining techniques and the cutting-edge omics researches in principles and applications for a deep understanding of Traditional Chinese Medicine (TCM) and diseases from the following aspects: (1) Basics about multi-omics data and analytical methods for TCM and diseases. (2) The needs of omics studies in TCM researches, and the basic background of omics research in TCM and disease. (3) Better understanding of the multi-omics big-data integration techniques. (4) Better understanding of the multi-omics big-data mining techniques, as well as with different applications, for most insights from these omics data for TCM and disease researches. (5) TCM preparation quality control for checking both prescribed and unexpected ingredients including biological and chemical ingredients. (6) TCM preparation source tracking. (7) TCM preparation network pharmacology analysis. (8) TCM analysis data resources, web services, and visualizations. (9) TCM geoherbalism examination and authentic TCM identification. Traditional Chinese Medicine has been in existence for several thousands of years, and only in recent tens of years have we realized that the researches on TCM could be profoundly boosted by the omics technologies. Devised as a book on TCM and disease researches in the omics age, this book has put the focus on data integration and data mining methods for multi-omics researches, which will be explained in detail and with supportive examples the “What”, “Why” and “How” of omics on TCM related researches. It is an attempt to bridge the gap between TCM related multi-omics big data, and the data-mining techniques, for best practice of contemporary bioinformatics and in-depth insights on the TCM related questions.
Автор: Ning Название: Traditional Chinese Medicine and Diseases ISBN: 9811947732 ISBN-13(EAN): 9789811947735 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book focuses on the multi-omics big-data integration, the data-mining techniques and the cutting-edge omics researches in principles and applications for a deep understanding of Traditional Chinese Medicine (TCM) and diseases from the following aspects: (1) Basics about multi-omics data and analytical methods for TCM and diseases. (2) The needs of omics studies in TCM researches, and the basic background of omics research in TCM and disease. (3) Better understanding of the multi-omics big-data integration techniques. (4) Better understanding of the multi-omics big-data mining techniques, as well as with different applications, for most insights from these omics data for TCM and disease researches. (5) TCM preparation quality control for checking both prescribed and unexpected ingredients including biological and chemical ingredients. (6) TCM preparation source tracking. (7) TCM preparation network pharmacology analysis. (8) TCM analysis data resources, web services, and visualizations. (9) TCM geoherbalism examination and authentic TCM identification. Traditional Chinese Medicine has been in existence for several thousands of years, and only in recent tens of years have we realized that the researches on TCM could be profoundly boosted by the omics technologies. Devised as a book on TCM and disease researches in the omics age, this book has put the focus on data integration and data mining methods for multi-omics researches, which will be explained in detail and with supportive examples the “What”, “Why” and “How” of omics on TCM related researches. It is an attempt to bridge the gap between TCM related multi-omics big data, and the data-mining techniques, for best practice of contemporary bioinformatics and in-depth insights on the TCM related questions.
Автор: Moran-Gilad Jacob, Yagel Yael Название: Application and Integration of Omics-Powered Diagnostics in Clinical and Public Health Microbiology ISBN: 3030621545 ISBN-13(EAN): 9783030621544 Издательство: Springer Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Various "omics" methods have recently revolutionized molecular diagnostics. This book looks at this field from a holistic viewpoint, instead of limiting by type of "omics" technology, in order to cover the body of knowledge needed for practitioners and academics interested in clinical and public health microbiology.
Автор: Moran-Gilad Название: Application and Integration of Omics-powered Diagnostics in Clinical and Public Health Microbiology ISBN: 303062157X ISBN-13(EAN): 9783030621575 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Various "omics" methods have recently revolutionized molecular diagnostics. This book looks at this field from a holistic viewpoint, instead of limiting by type of "omics" technology, in order to cover the body of knowledge needed for practitioners and academics interested in clinical and public health microbiology.
Автор: Bernd Mayer Название: Bioinformatics for Omics Data ISBN: 1493957805 ISBN-13(EAN): 9781493957804 Издательство: Springer Рейтинг: Цена: 167700.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Presenting an area of research that intersects with and integrates diverse disciplines, including molecular biology, applied informatics, and statistics, among others, Bioinformatics for Omics Data: Methods and Protocols collects contributions from expert researchers in order to provide practical guidelines to this complex study. Divided into three convenient sections, this detailed volume covers central analysis strategies, standardization and data-management guidelines, and fundamental statistics for analyzing Omics profiles, followed by a section on bioinformatics approaches for specific Omics tracks, spanning genome, transcriptome, proteome, and metabolome levels, as well as an assortment of examples of integrated Omics bioinformatics applications, complemented by case studies on biomarker and target identification in the context of human disease. Written in the highly successful Methods in Molecular Biology™ series format, chapters contain introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and notes on troubleshooting and avoiding known pitfalls. Authoritative and accessible, Bioinformatics for Omics Data: Methods and Protocols serves as an ideal guide to scientists of all backgrounds and aims to convey the appropriate sense of fascination associated with this research field.
Название: Big Data in Omics and Imaging, Two Volume Set ISBN: 0367002183 ISBN-13(EAN): 9780367002183 Издательство: Taylor&Francis Рейтинг: Цена: 158230.00 T Наличие на складе: Нет в наличии. Описание: Introduces currently developed statistical methods and software for big genomic and epigenomic data analysis with real-world examples and case studies.
Автор: Xiong, Momiao (university Of Texas School Of Public Health, Usa) Название: Big data in omics and imaging ISBN: 1032095237 ISBN-13(EAN): 9781032095233 Издательство: Taylor&Francis Рейтинг: Цена: 45930.00 T Наличие на складе: Нет в наличии. Описание: Emerging genomic, epigenomic, sensing and image technologies will produce massive, dimensional genomic, epigenomic, physiological, image and clinical data. The book is designed to introduce the currently developed statistical methods and software for big genomic and epigenomic data analysis.
Автор: William C.S. Cho Название: An Omics Perspective on Cancer Research ISBN: 9400790635 ISBN-13(EAN): 9789400790636 Издательство: Springer Рейтинг: Цена: 156720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The emerging omics field offers new developments in cancer research. Topics like cancer-associated gene discovery and drug validation are among the highlights outlined in this valuable reference, as well as an integration approach for cancer research.
Автор: Daisuke Kihara Название: Protein Function Prediction for Omics Era ISBN: 9400799640 ISBN-13(EAN): 9789400799646 Издательство: Springer Рейтинг: Цена: 191550.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book examines the emerging development of computational gene function prediction methods, which are targeted to analyze large scale data, and also those which use such omics data as additional source of function prediction.
Автор: Longbing Cao Название: Data Mining and Multi-agent Integration ISBN: 1489984402 ISBN-13(EAN): 9781489984401 Издательство: Springer Рейтинг: Цена: 153720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book details the state-of-the-art research and development regarding the synergism of multiagents and data mining. Specifically, it presents the methodologies, algorithms and systems that integrate these two cutting-edge technologies.
Автор: Debmalya Barh; Dipali Dhawan; Nirmal Kumar Ganguly Название: Omics for Personalized Medicine ISBN: 8132228766 ISBN-13(EAN): 9788132228769 Издательство: Springer Рейтинг: Цена: 200260.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book details how the pharmacogenomics and omics technologies are transforming the medicine and the health care sector for the better. It covers all aspects of pharmacogenomics and its disease-specific applications.
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